Wayne Connor

829 citations
23 papers · 758 · h-index 17

Impact in

  • Microbiology top 10%
  • Genetics top 10%
    • Animal Genetics and Reproduction
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities

Papers in

    • RNA and protein synthesis mechanisms 7
    • RNA Interference and Gene Delivery 6
    • RNA Research and Splicing 3
    • Genomics and Chromatin Dynamics 3
    • Animal Genetics and Reproduction 4

Wayne Connor

22 papers receiving 702 citations

Peers

Wayne Connor
Comparison fields: 5 of 85
  • Microbiology 60
  • Genetics 211
  • Reproductive Medicine 59
  • Molecular Biology 467
  • Physiology 24
Replace David W. Hibler with:
David W. Hibler United States
LeAnn L. Lindsay United States
Gregory K. Fontenot United States
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Makoto Iwaya Japan
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Huaiyang Jiang United States
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Citations per field
00.5×10.3×
David W. Hibler · 1×
Citations per year

Countries citing papers authored by Wayne Connor

Since Specialization
Citations

This map shows the geographic impact of Wayne Connor's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wayne Connor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne Connor more than expected).

Fields of papers citing papers by Wayne Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wayne Connor. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wayne Connor. The network helps show where Wayne Connor may publish in the future.

Co-authors

The 25 scholars most cited alongside Wayne Connor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wayne Connor Line = papers co-authored together Wayne Connor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979174
2 200393
3 197340
4 198238
5 198537
6 198136
7 198735
8 198434
9 198834
10 201433
11 199530
12 198525
13 198424
14 200822
15 201521
16 200817
17 200817
18 198615
19 200814
20 199313

About Wayne Connor

Wayne Connor is a scholar working on Molecular Biology, Genetics, Epidemiology, Public Health, Environmental and Occupational Health and Microbiology, having authored 23 papers that have together received 758 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), RNA Interference and Gene Delivery (6 papers), Animal Genetics and Reproduction (4 papers), Pneumonia and Respiratory Infections (4 papers), Streptococcal Infections and Treatments (3 papers), RNA Research and Splicing (3 papers), Genomics and Chromatin Dynamics (3 papers) and Bacterial Infections and Vaccines (2 papers). The work is most often cited by research in Microbiology (60 citations), Genetics (211 citations), Reproductive Medicine (59 citations), Molecular Biology (467 citations) and Physiology (24 citations). Wayne Connor has collaborated with scholars based in Canada, Ireland and United States. Frequent co-authors include Gordon H. Dixon, Stephen A. Krawetz, Robert J. Winkfein, Philip Willson, José Perez‐Casal, Shichun Lun, M.J. Ashwood-Smith, J. Christopher States, Karsten Hokamp and Andrew Potter. Their work appears in journals such as Journal of Molecular Evolution, Journal of Biological Chemistry, Microbial Pathogenesis, Nucleic Acids Research and Canadian Journal of Microbiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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